Martina Eckert

991 citations
47 papers · 752 · h-index 12

Impact in

Papers in

Martina Eckert

37 papers receiving 718 citations

Peers

Martina Eckert
Comparison fields: 5 of 96
  • Ocean Engineering 218
  • Computer Vision and Pattern Recognition 273
  • Computer Networks and Communications 238
  • Rehabilitation 42
  • Safety, Risk, Reliability and Quality 62
Replace Yi Han with:
Yi Han China
Alessandro Manzi Italy
Chongyang Wang China
Muhammad R. Ahmed Oman
Robin T. Bye Norway
M. C. Rodriguez‐Sanchez Spain
Tareq Alhmiedat Saudi Arabia
Dario Esposito Italy
Koray Özcan United States
Piero Zappi Italy
Martina Eckert relative to Yi Han China Yi Han's profile →
Citations per field
00.5×5×12.4×
Yi Han · 1×
Citations per year

Countries citing papers authored by Martina Eckert

Since Specialization
Citations

This map shows the geographic impact of Martina Eckert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martina Eckert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Eckert more than expected).

Fields of papers citing papers by Martina Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martina Eckert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martina Eckert. The network helps show where Martina Eckert may publish in the future.

Co-authors

The 25 scholars most cited alongside Martina Eckert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martina Eckert Line = papers co-authored together Martina Eckert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016173
2 2016125
3 2015113
4 199953
5 201647
6 201740
7 201730
8 199225
9 202324
10 201616
11 201613
12 199811
13 20168
14 20006
15 20186
16 20175
17 20155
18 20234
19 20174
20 20194

About Martina Eckert

Martina Eckert is a scholar working on Computer Vision and Pattern Recognition, Rehabilitation, Sociology and Political Science, Signal Processing and Developmental and Educational Psychology, having authored 47 papers that have together received 752 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (5 papers), Stroke Rehabilitation and Recovery (5 papers), Video Coding and Compression Technologies (4 papers), Children's Physical and Motor Development (4 papers), Sociology and Education Studies (4 papers), Context-Aware Activity Recognition Systems (4 papers), Advanced Vision and Imaging (4 papers) and Cerebral Palsy and Movement Disorders (4 papers). The work is most often cited by research in Ocean Engineering (218 citations), Computer Vision and Pattern Recognition (273 citations), Computer Networks and Communications (238 citations), Rehabilitation (42 citations) and Safety, Risk, Reliability and Quality (62 citations). Martina Eckert has collaborated with scholars based in Spain, Germany and Portugal. Frequent co-authors include José-Fernán Martí­nez-Ortega, Ning Li, Xin Yuan, Fernando Jaureguizar, Robert A. Wicklund, Narciso Garcı́a, Lourdes López, Mariano Gacto‐Sánchez, Luís Salgado and María-Luisa Martín-Ruiz. Their work appears in journals such as Sensors, JMIR Serious Games, International Journal of Environmental Research and Public Health, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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